Temporal search query personalization

ABSTRACT

A user is made able to configure a search query to be responsive to temporal factors in order to adjust the search query to more accurately reflect the user&#39;s true information need. By adjusting the search query in this way, the user is more likely to receive satisfactory search results.

CROSS REFERENCE TO RELATED APPLICATIONS

This application is related to U.S. Provisional Application No.60/824,525, filed on Sep. 5, 2006 and titled “Temporal Search EnginePersonalization” and U.S. Provisional Application No. 60/806,688, filedon Jul. 6, 2006 and titled “Temporal Search Engine Personalization”,both of which are incorporated herein by reference in their entirety.

TECHNICAL FIELD

This disclosure relates to temporal search query personalization.

BACKGROUND

Users may access the Internet to retrieve content that fills aninformation need. To do so, for example, a user accesses a search engineand supplies a search query that represents the user's information need.The search engine then searches the Internet to identify content (e.g.,a web page) that is responsive to the search query, and hopefully,satisfies the user's information need. The search engine then presentssearch results corresponding to the identified content, where a user mayselect a search result in order to access to the content correspondingwith the selected search result.

SUMMARY

In a general aspect, search results are provided to a user. A searchquery is received from a user and a time component is determined to beassociated with the search query. A time-oriented profile that includesinformation about monitored browsing behaviors is accessed and a subsetof information from within the time-oriented profile is identified basedon the time component associated with the received search query. Thesearch query is related to the subset of information identified fromwithin the time-oriented profile. Based on the results of relating, theuser is provided with search results that account for one or more of themonitored browsing behaviors within the subset of the informationidentified from within the time-oriented profile.

With respect to at least the general aspect, implementations may includeone or more of the following. For example, the search query may beadjusted to include information that is associated with the timecomponent and that is included in the time-oriented profile, based onthe results of the relating. The search results may be responsive to theadjusted search query.

The search results may include temporally-based search results that areresponsive to the adjusted search query and temporally-independentsearch results that are responsive to the search query as provided bythe user. The search results may be provided to the user such that theuser can perceive a difference between the temporally-based searchresults and the temporally-independent search results, or the searchresults may be provided to the user such that the user cannot perceive adifference between the temporally-based search results and thetemporally-independent search results.

Determining the time component may include enabling the user to specifya time component. A time component may be recommended to the user basedon a time frame during which the user's browsing behaviors were relatedto the search query and the user may be enabled to select therecommended time component.

Determining the time component may include identifying a time componentbased on a time frame during which the user's browsing behaviors wererelated to the search query and the identified time component isautomatically selected. The user may be advised of the automaticallyselected time component and the user may be enabled to reject theautomatically selected time component.

The information related to the monitored browsing behaviors may includeinformation related to content accessed by the user as part of themonitored browsing behaviors, a classification of the information, and atime indication of when the user performed the activity related to theinformation. The information, classification and time indication may bestored within the time-oriented profile for a predetermined amount oftime.

A feature vector may be generated for documents accessed by the userduring the browsing. A feature vector for a document may include atleast one of information related to words appearing in the documentbased on their relative frequency of occurrence within the document, anindication of a time frame during which the document had been accessedby the user, a length of the document, an indication of where thedocument is stored and accessed from, an indication of how much usefulinformation the document includes, and a classification related to thedocument.

A temporal session feature vector may be generated and stored based onat least one feature vector formed for at least one document accessed bythe user prior to receipt of the search query. The temporal sessionfeature vector may include, with respect to the accessed documents, atleast one of words appearing in the documents based on a relativefrequency of occurrence of the words within the documents,classifications related to the documents or the words, a time indicationrelated to when the user accessed the documents that include the wordsand/or classifications. The temporal session feature vector may includean indication of a weight associated with at least one the words orclassifications.

Relating the search query to the subset of information identified fromwithin the time-oriented profile may include determining if a featurevector associated with the search query is similar to informationincluded in the temporal session feature vector that is associated withthe time component.

The he feature vector associated with the search query may include atleast one of the full query, an indication of a time at which the querywas received, whether the query was entered into a specialized searchengine interface, and potential classifications related to the query.

Information in the temporal session feature vector may be associatedwith the time component if the information was included in, orassociated with, a document accessed by the user within a time framethat satisfies the time component.

The search results may be provided based on processing by a third partyplug-in.

Implementations of any of the techniques described may include a methodor process, an apparatus or system, or computer software on acomputer-accessible medium. The details of particular implementationsare set forth below. Other features will be apparent from thedescription and drawings, and from the claims.

DESCRIPTION OF DRAWINGS

FIG. 1A is an illustration of an exemplary UI configured to enable auser to provide a search query and select a time component to beassociated with the search query.

FIG. 1B is an illustration of an exemplary user interface (UI) thatdisplays search results along with a tool configured to enableadjustment of the search results responsive to a time component.

FIG. 1C is an illustration of an exemplary UI that displays a searchresults that have been adjusted to be responsive to a selected timecomponent.

FIG. 1D is an illustration of an exemplary UI enabling a user toperceive information gleaned from a time-oriented profile and choosewhether or not to adjust search results based on such information.

FIG. 2 is flow chart of an exemplary process by which a user is madeable to perceive search results that are responsive to a search queryand informed by the user's pre-search browsing behavior.

FIGS. 3A and 3B illustrate user interfaces (UIs) that show web pagesbrowsed by a user.

FIG. 4 is an illustration of an exemplary UI configured to provide auser with general search results that are responsive to an adjustedversion of a search query and temporally-independent search results thatare responsive to a non-adjusted version of the search query.

FIG. 5 illustrates an exemplary graph depicting a relationship between auser's pre-search browsing behavior and a search query over time, aswell as a table that includes data related to search results that may beprovided to the user for various time components.

FIG. 6 illustrates two exemplary data structures that each represents afeature vector for a document viewed by a user.

FIG. 7 illustrates two exemplary data structures representing a temporalsession feature vector and a feature vector associated with a searchquery, respectively.

FIG. 8 is a block diagram of an exemplary communications system thatincludes a client configured to communicate with a host, which includesa search engine, via a network and an intermediary.

FIG. 9 is a flow chart of an exemplary process for enabling a user toperceive search results that are responsive to the user's trueinformation need, as represented by a search query, and the user'spre-search electronic activities.

DETAILED DESCRIPTION

Using technology described by this disclosure, a user is made able toconfigure a search query to be responsive to temporal factors in orderto narrow the search query to more accurately reflect the user's trueinformation need. By narrowing the search query in this way, the user ismore likely to receive satisfactory search results.

In one exemplary implementation, a user's web browsing behavior ismonitored and a time-oriented profile reflecting the user's web browsingbehavior is generated. For example, the time-oriented profile mayinclude an indication of web sites that were accessed by the user (andwhen). A search query then is received from the user, with an indicationof a corresponding time component. The search query is compared toinformation included in the time-oriented profile that is associatedwith a time frame that corresponds to the time component. For example,the search query may indicate an interest in movies and may correspondto a time component of “past day” and the time-oriented profile mayindicate that the user retrieved information related to a specific movieapproximately within the past day. If relating the time component to thesearch query supports adjusting the search query, the search query maybe adjusted so that search results may be responsive to the timecomponent. In the foregoing example, relating the search query to thetime-oriented profile may be used to identify search results that arerelated to the content associated with the specific movie accessed bythe user in the past day. As a result, the user may easily accesscontent that is responsive to the search query and likely relevant tocontent the user seeks.

In a more detailed example, search queries related to a proper name of amovie character, such as the dog “Toto” from the movie The Wizard of Oz,returns search results from disparate topics unrelated to The Wizard ofOz (e.g., Toto the musical group or TOTO USA, a manufacturer of plumbingproducts). If a user wishing to see search results related to the dog“Toto” has user profile, or other information (e.g., pre-search browsinghistory that includes cached web pages or metadata descriptive ofpreviously accessed web pages) relating to The Wizard of Oz, the searchengine may be configured to use this information to determine whether toprioritize search results relating to the dog “Toto” or alternatively,to limit search results to those relating to the dog “Toto.” If no userprofile or other information related to The Wizard of Oz exists, theuser may be provided with general search results that are not gearedtowards any one interpretation of the word “Toto.”

The UI 100A of FIG. 1A is configured to allow a user to provide a searchquery 110 and a corresponding time component using slider bar 120.

Slider bar 120 enables the user to specify a time frame to which thesearch query 110 should be responsive. More precisely, slider bar 120may be used to identify a particular time component within the timeoriented profile to which search results should be responsive.

For example, a user has entered “Toto” as a search query 110.Additionally, the user has chosen a time frame between the past monthand the past week using slider bar 120. The user may select other timeframes as the time component, including the past day and the past hour.

The UI 100B of FIG. 1B displays search result list 140 along with tools131 and 132 configured to enable adjustment of the search result list140 based on a user-selected time component. Search result 141 appearsfirst in list 140 followed by other search results including searchresult 142 and search result 143. Assuming the search query “Toto”represents the user's desire to receive information related to the dogToto, search results 141 and 142 are inconsistent with the user'sinformation need, whereas search result 143 is responsive to the user'sinformation need.

UI 100B shows two examples of a tool—a sidebar 131 and input boxes 132that a user may use to adjust the search results provided in list 140 toproduce a list of search results (not shown) that accounts for a timeframe specified by the user through use of the tool. For instance, theuser may use slider bar 131 to select a particular time component (e.g.,past month), or the user may provide a specific time range into inputboxes 132 to tailor the search results to the provided time component.

Stated differently, and with somewhat greater detail, as a result ofentering “Toto” as search query 110, search results 141-143 related tothree different topics are displayed. Only search result 143 isresponsive to the user's interest in receiving information for Toto thedog from The Wizard of Oz. Search results 141 and 142 are displayedabove search result 143 and represent unrelated topics that happen toshare the name “Toto.” This positioning of search results 141-143 may bebased on some predetermined and default ranking algorithm, such as basedon popularity of content corresponding to the search results. Slider bar131 or input boxes 132 may be used to adjust the search, andconsequently the search results, to elevate the prominence of searchresults responsive to the time-oriented profile (and thus the user'strue information need), such as, for example, by providing search result143 first among search results 141-143 (as illustrated by FIG. 1C).

The UI 100C of FIG. 1C displays search results that have been adjustedto be responsive to a selected time component, producing adjusted searchresult list 150. UI100C may be produced, for example, as a result ofusing slider bar 120 or 131 in UIs 100A or 100B respectively. Theelevation (e.g., boosting) of search results within search result list150 now reflect a user's true information need related to “Toto” thedog, rather than search results for the musical group or plumbingmanufacturing company, which appeared in search result list 140 of UI100B.

The UI 100D of is configured to enable a user to perceive informationgleaned from the user's time-oriented profile and select whether or notto adjust search results based on such information. More particularly,UI 100D includes radio buttons 161-162, radio buttons 171 and 173 anddrop down menu 172.

As a result of entering search query 110 “Toto,” information included ina time-oriented profile associated with the user who entered the searchquery 110 may be accessed to determine if, during any time frame, theuser accessed information related to the word “Toto.” If so, UI 100D maypresent the user with an indication of subject matter that is deemed tobe related to the search query 110 “Toto” based on the user's pre-searchbrowsing behavior, such as, for example, the statement “We think you arelooking for information on Toto from The Wizard of Oz.” The UI 100D alsorequests a response from the user on whether the statement is correct.Radio button 161 enables the user to indicate that the user did intendto find information about Toto from The Wizard of Oz. Alternatively, andin the example shown, the user has indicated that The Wizard of Oz isnot what was intended by the search query “Toto” via radio button 162.

In response to selection of radio button 162, UI 100D notes “Oops! Wegot it wrong.” Radio button 171 enables the user to adjust the searchquery 110, and thus, any corresponding search results, (“Tell us whatyou meant by Toto”) to reflect a different relation to the search query“Toto” (e.g., the musical group or the plumbing manufacturer), which mayor may not be identified in the time-oriented profile. The otherinterpretations for the search query 110 “Toto” may be determined fromsearch results that are identified as responsive to the search queryabsent any influence from the time-oriented profile. Various differentrelations may be provided to a user in, for example, drop-down menu 172.As shown, the topics “plumbing products,” “band” and “movie.” In someimplementations, radio buttons 171-172 may only be presented in UI 100Din response to user selection of radio button 162. Alternatively, radiobuttons 171-172 may be present, but inactive (e.g., the radio buttonsmay be obscured or grayed out) until such time as a user has selectedradio button 162.

Alternatively a user may select radio button 173 to execute the searchquery 110, without adjusting it to be responsive to a time component(“Just run the search”) producing, for example, user interface 100B.

In some implementations, the “no” radio button 162 may alone be used toinspire blacklisting or demotion of Oz-related content that wouldotherwise be determined and revealed to the user as search results. Insome implementations, selection of the “no” radio button 160 inconjunction with selection of a topic in the drop down menu 172 may berequired to blacklist or demote Oz-related content.

UI 100D may be presented to a user in response to at least two events.First, the UI 100D may be presented to a user immediately (orsubstantially immediately) after the user has provided the search query110, but before results corresponding thereto are determined orpresented to the user. Second, the UI 100D may be presented to the userin connection with, and at approximately the same time as, resultsdetermined in response to the search query.

A selected time component and/or relationship between the search query110 and a user's pre-search browsing behavior, as selected using UIs1A-1D, may be used to narrow (e.g., filter) search results that mayotherwise be provided to a searching user. In some implementations, thesearch query itself may be modified based on the searching user's inputsto UIs 1A-1D. For example, upon selection of the relation “plumbingproducts,” the search query “Toto” may be modified to become an adjustedsearch query “Toto plumbing” or “Toto plumbing products.” Alternatively,the original search query may be compared against a corpus ofinformation to produce search results that are not limited based on theuser's inputs into UIs 1A-1D. The search results may then be filtered ororganized based on the user's inputs. For example, if the user selectsthe relation “plumbing products,” search results related to informationother than plumbing products may be filtered out of a search result listprovided to a searching user. Alternatively, search results related toplumbing products may be provided within a search result list at avisually prominent position, such as, for example, at the top of thesearch result list or under, for example, a “Plumbing Products” heading.

As described, the UIs of, FIGS. 1A-1D may be used to update searchresults based on a time-oriented profile that accounts for only thepre-search browsing activities of the user who provided the search query(i.e., the searching user). Additionally, or alternatively, searchresults may be based on browsing behavior performed prior to the instantsearch by other users, such as a subset of users who are known to thesearching user (e.g., users included in a contact list maintained by thesearching user or users with whom the searching user has communicated)and/or the general population of users (e.g., users not known to thesearching user). Allowing a user to adjust search results based onpre-search browsing behavior of others may allow a user to tap intoinformation that is temporally popular among other users, and thus morelikely to be responsive to the searching user's own information need.

To inform an instant search query based on pre-search browsing behaviorof others, a search system, such as, for example, the system included onhost 840 of FIG. 8 that is described in more detail below, may maintainand/or access a data store of topics that are popular, or “hot,” amongusers in general. Topics from among the “hot” topics list may be placedin a general time-oriented profile, with corresponding time componentsthat describe how recently the topic has been accessed via browsing byother users. Additionally, or alternatively, the general time-orientedprofile may be filtered to only include topics that are “hot” to usersknown to the searching user. A searching user may be made able to adjustsearch results based on the general time-oriented profile (or thefiltered general time-oriented profile) by, for example, selecting aradio button, check box, or other user interface element, that may beadded to one or more of UIs 100A-100D.

The exemplary process 200 of FIG. 2 is configured to allow a user toperceive search results that are responsive to a search query andinformed by the user's pre-search browsing behavior. Generally, theoperations of process 200 may be used in conjunction with the systemsand configurations described below with respect to FIG. 8. For example,process 200 may be performed by host 840 of FIG. 8, as described in moredetail below, and for convenience, host 840 is referenced as performingthe process. However, similar methodologies may be applied in otherimplementations where different components are used to define thestructure of the system, or where the functionality is distributeddifferently among the components shown.

Host 840 monitors a user's web browsing behavior (210). Monitoring maybe performed by examining the user's browser history or cached webpages. For example, a user may browse documents that include informationabout the movie The Wizard of Oz. The documents may be, for example,shown in UIs 300A and 300B of FIGS. 3A and 3B, respectively. Moreparticularly, the UI 300 of FIG. 3A displays a web page from a moviedatabase detailing The Wizard of Oz movie and the UI 300B of FIG. 3Bdisplays a web page that includes information related to the play“Wicked: The Untold Story of Wizard of Oz.”.

UIs 300A and 300B each include words and phrases that may be related tothe overall content of the web pages shown. For example, the web pageshown in UI 300A includes page title 310 (“The Wizard of Oz (1939)”),movie title 321 (“The Wizard of Oz”), author 322 (“L. Frank Baum”) andplot 323 (“Dorothy Gale is swept away . . . ”). In another example, theweb page shown in UI 300B includes page title 330 (“Wicked: The NewBroadway Musical—Official Website”), play title 341 (“Wicked: The UntoldStory of the Witches of Oz”), word 342 (“Oz”) and location 343(“theatre”).

Host 840 stores the phrases “Wizard of Oz,” “L. Frank Baum,” and“Dorothy” which have been determined to be related to the documentsaccessed by the user during the pre-search web browsing (210). Moreparticularly, host 840 identifies the phrases “Wizard of Oz,” L. FrankBaum” and “Dorothy” from the web page shown in UI 300A as beingimportant to the overall content included within the web page shown inUI 300A. Host 840 then stores the identified phrases to aid indetermination of whether a search query is related to user profile orother information associated with a user who provided the search query.

Host 840 classifies the stored phrases as “movies” and identifies a timeat which the document that included the phrases (e.g., the web pageshown in UI 300A) was accessed by the user in order to generate atime-oriented profile for the user (230). As such, a time-orientedprofile may include phrases identified from web pages browsed by theuser, a classification related to the phrases and an indication of atime and date on which the document that included the phrases wasaccessed by the user. In some implementations, host 840 may access anontology or a taxonomy to determine a classification associated with oneor more of the phrases stored during operation 210. In the presentexample, host 840 may determine that the phrases “Wizard of Oz,” “L.Frank Baum” and “Dorothy” belong to the classification “movies.”Additionally, host 840 may determine a time at which the document thatincluded the phrases was accessed by the user. For example, the host 840may determine that the user accessed the document one hour ago, oralternatively, the host 840 may determine that the user accessed thedocument at 8:00 AM on Aug. 25, 2006. Thus, a time-oriented profile maybe generated for the user that includes the phrases “Wizard of Oz,” “L.Frank Baum” and “Dorothy,” the classification “movies” and an indicationthat the phrases were accessed in a document at 8:00 AM on Aug. 25,2006.

Host 840 receives a search query “Toto” from the user and determines acorresponding time component to be related to the search query (240).The time component may be determined based on user input. For example,and referring again to UI 100A of FIG. 1, the user may move slider 120to a position for “past day.” As such, the host 840 determines that theuser wishes to associate a time component of the past day with thesearch query “Toto.” Thus, search results provided in response to thesearch query “Toto” may be associated with pre-search browsing by theuser during the past day. In some implementations, a default timecomponent may be used when the user fails to select a time component.The default time component may be, for example, a large time component(e.g., the past month), a small time component (e.g., the past hour) orsome other pre-determined or user-selected default value. Furthermore, aparticular time component may be automatically selected for the userbased on the user's pre-search browsing behavior, as described in moredetail below with respect to FIG. 5.

The search query Toto” is related to the time-oriented profileassociated with the user (250). More particularly, the term “Toto” andthe corresponding time component “past day” are compared to thetime-oriented profile previously generated for the user, as describedabove, to determine if the time-oriented profile includes informationrelated to the search query at the time component specified. Forexample, the host 840 may determine that the term “Toto” is stored inthe time-oriented profile and is associated with a time component of“past day.”

As such, any classification information, as well as other words orphrases associated with the term “Toto” that relate to the informationaccessed by the user during a time frame corresponding to the timecomponent may be used to adjust the search query in order to ensure thatsearch results provided in response to the search query are informed bythe classification and phrases associated with the term “Toto” in thetime-oriented profile (260). For example, the search query “Toto” may beadjusted to be, for example, “Toto AND Oz,” “Toto AND movies,” or “TotoAND Dorothy.” In some implementations, the search query “Toto” may beadjusted to specifically exclude interpretations that do not correspondto information stored in the time-oriented profile at the particulartime frame. For example, the search query “Toto” may be adjusted to be“Toto NOT plumbing” or “Toto NOT band OR plumbing.”

Based on the adjusted search query, host 840 provides search results tothe user that correspond to content related to Toto the dog from themovie The Wizard of Oz (270). As such, host 840 provides the user withsearch results that are likely to be responsive to the user's trueinformation need.

The UI 400 of FIG. 4 is configured to provide a user with both searchresults 420 that are responsive to an adjusted version of search query410 and temporally-independent search results 430, which are responsiveto a non-adjusted version of search query 410. More particularly, userinterface 400 enables a user to perceive a difference between searchresults 420, which are shown under an enhanced search results header 421(“We think you mean Toto from The Wizard of Oz”) and search results 430,which are also shown under an enhanced header 431 (“General Results forToto”).

Search results 420 are search results that have been informed by datawithin a time-oriented profile associated with the user based on thesearch query and a corresponding (and user-provided or automaticallygenerated) time component. For example, the search results 420 areresponsive to not only the search query “Toto,” but also phrases“Dorothy” and “L. Frank Baum,” which appear in the user's time-orientedprofile as being associated with a time component (provided by the userin, for example, UI 100A of FIG. 1A) of “past day.” As such, searchresults 420 correspond to content related to The Wizard of Oz.

Search results 430 are search results that have not been informed bydata within the user's time-oriented profile. As such, search results430 correspond to content related to various interpretations of the word“Toto,” such as, for example, the plumbing products manufacturer and theband. In some implementations, search results 430 may explicitly excludesearch results that correspond to content related to “Toto” the dog fromThe Wizard of Oz since search results for this particular interpretationof the word “Toto” may be fully covered within search results 420.Alternatively, or additionally, a user may specify whether searchresults 430 should include search results associated with the “Toto” thedog interpretation. A user may wish to so include the dog search resultsin search results 430 to determine where these search results fall(e.g., their relative ranking) within the general search results 430.The enhanced search results header 431 may change depending on thecategories of search results included in search results 420.

The graph 510 of FIG. 5 depicts a relationship between a user'spre-search browsing behavior and a search query over time, as well as atable 520 that includes data related to search results that may beprovided to the user for various time components.

More particularly, and for example, graph 510 shows a number of webpages (or, in some implementations, other Internet or local content)that were browsed by a user pre-search during a particular time frame,and that include content related to a search query provided by the user.For example, during the “past day” time frame, the user browsed a largenumber of web pages that include content related to a search query, suchas, for example, the search query “Toto.” In contrast, during the timeframe “past hour,” the user browsed almost no web pages that includecontent related to the search query “Toto.”

When a user provides a time component with a search query (by, forexample, moving a slider), the search results provided to the user inresponse may be informed by the user's browsing behavior during a timeframe associated with the time component. For example, if in the pastday, a user browsed web pages related to The Wizard of Oz, any searchresults provided to the user for a search query that is related to TheWizard of Oz (among other things) may be included, when otherwise thosesearch results would not.

Because search results provided to a user depend on a particular timecomponent, table 520 shows topics related to search results that may beprovided to a user in response to a search query and a particular timecomponent. During the time frame “past hour,” and as shown in graph 500,the user browsed very few, if any, web pages related to the search query“Toto.” Thus, search results provided for the search query “Toto” mayinclude general search results (e.g., related to plumbing products orthe band) since a time-oriented profile associated with the user doesnot include any information that is helpful in determining searchresults that are more likely than not to satisfy the user's trueinformation need, as shown in table 520 at column 521.

During the time frame “past day,” the user browsed a large number of webpages related to the search query “Toto.” Such a relationship may bedetermined based on a comparison of the search query with phrases andother information (e.g., metadata, uniform resource locator or referringpage information) detected within particular web pages browsed by theuser prior to performance of the search. Because the user browsed agreat number of web pages related to the search query “Toto,” thecontent of those web pages may be used to inform search results providedin response to the search query “Toto.” Because the web pages browsedare related to the movie The Wizard of Oz, the search results providedalso may be associated with content related to Toto the dog of TheWizard of Oz, as shown in table 520 at column 522.

Similar data may be tabulated and stored within table 520 for the timeframes of “past week” and “past month,” although that information is notshown in FIG. 5.

In some implementations, graph 510 and table 520 (or the informationstored therein) may not be made perceivable to a user. However, theinformation represented by graph 510 and table 520 may be used by host840 to provide the user with a recommendation for a time componentselection for a particular search query. For example, a user may providea search query “Toto.” Host 840 may determine, based on a time-orientedprofile, that the phrase “Toto” is related to content included in one ormore web pages that the user previously browsed. Based on theinformation provided in graph 510 and graph 520, the host 840 maydetermine a time frame during which the largest number of web pages thatinclude content related to the search query were previously viewed bythe user. For example, and as shown in graph 510, during the time frame“past day,” the user browsed the largest number of web pages associatedwith the search query “Toto.” Thus, search results provided in responseto the search query “Toto” may be those most likely to satisfy theuser's true information need if determination of those search results isinformed by the web pages browsed during the time frame “past day.” Assuch, the host 840 may present the user with an indication that aselection of a time component of “past day” associated with the searchquery “Toto” may yield more satisfactory search results, oralternatively, that such a selection may yield search results related toThe Wizard of Oz. In some implementations, and as shown above in UI 100Dof FIG. 1D, the user may be presented with an indication that the systemhas determined that the user is looking for information on The Wizard ofOz, and may enable the user to accept or reject this conclusion.Alternatively, the graph 510, table 520 and/or the information storedtherein may be presented to a user to assist the user in selection of atime component associated with a particular search query.

Alternatively, or additionally, rather than providing the user with arecommended time component for user selection, the information in graph510 and table 520 may be used by host 840 to automatically select a timecomponent for a particular search query. For example, search resultsprovided in response to the search query “Toto” may be most likely tosatisfy the user's true information need if a time component of “pastday,” is associated with the search query. Thus, host 840 mayautomatically associate the “past day” time component with the searchquery “Toto.” In some implementations, a user may be enabled to rejectthe automatically associated time component, and provide a substitutetime component or elect to perform the search without an indication of acorresponding time component.

In some implementations and examples, a user may seek to findinformation included in a web page (or other Internet or local content)accessed by the user during a particular time frame. The user may adjustthe time component associated with a search query (or without a searchquery, in some implementations, to simply view search resultscorresponding to previously accessed content) to establish the timeframe during which the user viewed the particular material, andhopefully rediscover the previously accessed material. As such, theinformation provided in graph 510 and table 520 may not be useful to auser in this situation because the user may not seek search results fora search query that have been informed by a time period when the userbrowsed information related to the search query (e.g., such as in theexample described above), but rather the user may desire to findinformation that the user previously accessed during a particular timeframe.

The data structures 600 and 610 of FIG. 6 each represent feature vectorsfor documents shown in UIs 300A and 300B of FIGS. 3A and 3B,respectively. In general, a feature vector is an n-dimensionalcollection of data stored together to represent a relationship among thedata.

Data structure 600 includes information related to words 601 a-601 cappearing in a document based on their relative frequency of occurrence.The data structure 600 also includes an indication of a time frame 602,which includes a particular time and date at which the documentcorresponding to the data structure 600 was accessed, such as, forexample, “8:00 AM Aug. 25, 2006.” Thus, an indication of how recentlythe document was viewed by the user may be determined on-the-fly basedon a delta (e.g., 1 hour) between the current time and date (e.g., 9:00AM Aug. 25, 2006) and the time stored in the time frame 602 field.Furthermore, data structure 600 includes a length 603 of the document,an indication of a location 604 where the document is stored, oraccessed from, an indication of how much useful information the documentincludes based on a number of in-bound links 605 and outbound links 606included within the document, and a classification 607 related to thedocument.

By way of example, and more particularly, data structure 600 includeswords 601 a-601 c, “Wicked,” “Oz” and “Theatre,” respectively, thatappear frequently in UI 300B when displaying the Wicked document or havebeen deemed to be representative of the overall content of the Wickeddocument. As shown in data structure 600, the time frame 602 is “8:00 AMAug. 25, 2006,” the length 603 is “25 words,” the document storagelocation 604 is “Internet,” and the classification 607 includes thecategories “theatre” and “books.”

For data structure 600, the number of in-bound links 605 is “15” and thenumber of out-bound links is “20,” thereby providing an indication thatthere are less outside documents that link to the document to which datastructure 600 relates, than the number of outside documents to which thedocument links. Thus, the document related to data structure 600 mayrepresent a “hub” or “connector” document, rather than a useful sourceof information. In contrast, data structure 610 has far more in-boundlinks 615 (i.e., 100 in-bound links) than out-bound links 616 (i.e., 10out-bound links), which may indicate that information included in thedocument to which data structure 610 relates may include more usefulcontent, and thus may be more useful as a data element in atime-oriented profile for a user who accessed the document. For example,data structure 610 may prove helpful to a user searching for the dog“Toto” from The Wizard of Oz movie.

In some implementations, a document feature vector may be generated foreach document accessed or viewed by a user. Alternatively, documentfeature vectors may be created for documents that the user viewed formore than a threshold amount of time (e.g., 30 seconds) based on thepresumption that a user may spend more time viewing a document that ismore significant to the user than those documents that the user dislikedor found unhelpful. Additionally, or alternatively, a user may beenabled to indicate whether a feature vector should be created for aparticular document accessed by the user.

The data structure 700 of FIG. 7 represents a temporal session featurevector and the data structure 710 also of FIG. 7 represents a featurevector associated with a search query. More particularly, data structure700 illustrates a collection of information related to a web browsingsession of a user during a particular time period. Data structure 700 isa representation of a storage mechanism for some, or all, of theinformation included in a time-oriented profile. To generate datastructure 700, information stored in data structures 600 and 610 of FIG.6 may be used. More particularly, information stored in document datastructures that correspond to documents accessed by a user within aparticular time period (e.g., past hour, past day, past week or pastmonth) may be combined by, for example, feature vector addition, tocreate data structure 700. In some implementations, rather thanperforming a feature vector addition to generate data structure 700, allrelevant document feature vectors may be compared to determine words andclassifications that exist in a threshold number of document featurevectors, and as such, data structure 700 may only include suchinformation.

Data structure 700 includes at least one high frequency word appearingin one or more documents viewed by a user during the particular timeframe, as well as one or more classifications related to the one or moredocuments viewed by the user during the time frame. Data structure 700also includes an indication of weights that are, or are not, associatedwith the words and classifications. The determination of whether aparticular data point is to be weighted may be based on whether the datapoint demonstrates a threshold degree of responsiveness to a user'sinterests. For example, if a word is deemed to be important to adocument browsed by a user because the word is extremely frequent (e.g.,50 words of a 100 word document are the particular word) in the documentor appears in a prominent position (e.g., the title), the word may beweighted to indicate the likelihood that the word is a good predictor ofa user's interest in the document.

In some implementations, if a word appears in more than one, or athreshold number of, document feature vectors used to generate datastructure 700, the word also may be weighted. In another example, if aclassification of a document viewed by a user is the same as (e.g.,identical) or similar to (e.g., within a same super-category)classifications of documents frequently viewed by the user orinformation in an interest profile provided by, or created for, theuser, the classification may similarly be weighted to indicate that theclassification is a good predictor of a user's interest in the document.

The data structure 700 also includes an indication of a time and dateassociated with each of the phrases and classifications included in thedata structure 700 (e.g., a time and date at which a document thatincluded the phrase or classification was accessed by the user).

More particularly, data structure 700 includes words 701 “Dorothy,” “Oz”and “Wizard,” of which “Dorothy” and “Wizard” are weighted. Datastructure 700 also includes classifications 702 “Movies,” “Theatre” and“Movie Trivia,” of which “Movies” and “Movie Trivia” are weighted. Thewords “Dorothy” and “Wizard,” as well as the classifications “Movies”and “Movie Trivia” were included in documents accessed by the user at8:15 AM on Aug. 25, 2006. The word “Oz” and the classification “MovieTrivia” were included in documents accessed by the user at 8:00 AM onAug. 25, 2006.

Data structure 700 may be constantly updated as time moves forward. Insome implementations, data structure 700 may include information relatedto all documents accessed for which a feature vector has been generatedin a time frame that corresponds to a largest possible time component.For example, if the largest possible time component is “past month,” thedata structure 700 may include information from all documents accessedat a time and date that is equal to, or less than, one month prior tothe present time and date. As such, the data structure 700 may beupdated regularly, for example, on a predetermined schedule (e.g., everyhour) to continually remove information that is older than the largesttime component.

Alternatively, data structure 700 may be generated by host 840 on thefly whenever a search request and corresponding time component isreceived. For example, a search query “Toto” may be received at 9:00 AMon Aug. 25, 2006, with a corresponding time component of “past hour.” Inresponse to receipt of the search query, the host 840 may identifydocuments that were accessed by the user anytime after 8:00 AM on Aug.25, 2006 (i.e., within the past hour). Information included in thosedocuments accessed within the past hour then may be used by host 840 togenerate information to be included in data structure 700. As such, thesearch query feature vector (e.g., data structure 710) may simply becompared with a portion of a time-oriented profile (e.g., data structure700) that has already taken into account the specified time component.

Data structure 710 illustrates a collection of information associatedwith a search query, such as, for example, the search query “Toto.” Moreparticularly, and in this example, the data structure 710 includes anentire search query 711 “Toto,” a time and date 712 when the searchquery was received “9:00 AM Aug. 25, 2006,” and whether the query is aspecialized query 713 “no.” A search query may be a specialized query ifthe query was entered by a user into a specialized search engine, suchas, for example, a video search engine, or an image search engine, whereall search results provided for queries entered into the specializedengine are of the specialized type. Alternatively, or additionally, asearch query may be deemed to be a specialized query if the userprovides specialized instructions with the search query, such as, forexample, by selecting a type of search result (e.g., video searchresults) desired using a radio button, checkbox, or other UI element.

Data structure 710 also includes potential classifications 714, whichindicate potential classifications for the search query, or, in otherwords, possible interpretations of the search query. More particularly,the search query “Toto” may be associated with a “band” classification,a “plumbing products” classification and/or a “movies” classification.The query 711 and potential classifications 714 may be used in acomparison of the search query with identified words, phrases andclassifications from within documents browsed by a user during aparticular pre-search time frame to either determine if search resultsmay be informed by information included in the browsed documents or tosuggest a time component to a user, as described above. In someimplementations, as shown in UI 100D of FIG. 1D, the potentialclassifications 714 may be provided to a user upon entry of a searchquery in order for the user to manually adjust the search query to takeinto account the category to which the user's true information needrelates.

Data structures 700 and 710 may be used during process 200 of FIG. 2 torelate a search query “Toto,” as represented by data structure 710, to atime-oriented profile, as represented by data structure 700, based on acorresponding time component (e.g., “past day”). To perform therelating, various methods of feature vector comparison may be used, suchas, for example, a determination of an angle or difference between twofeature vectors.

In one example, the data structure 710 may be compared to data structure700. Prior to such action, it may be determined that the information indata structure 700 is associated with a time component that correspondsto the search query “Toto,” such as, for example, “past hour.” As such,data structure 700 may represent only the “past hour” portion of atime-oriented profile (e.g., only phrases, words and classificationsshown in data structure 700, which were included in a largertime-oriented profile, were included in documents accessed by a userwithin the past hour), and as such, the entire contents of datastructure 700 may be compared with data structure 710. Alternatively,data structure 700 may represent an entire time-oriented profile (e.g.,a past hour time-oriented profile), in which all of the informationincluded within data structure 710 (and the past hour time-orientedprofile) were included in documents accessed by the user within the pasthour. In either case, and by way of example, because the classification“movies” appears in data structures 710 and 700, a match may bedetermined, and, thus, information included in data structure 700 may beused to adjust the search query “Toto” to take into account informationrelated to pre-search browsing behavior of a user who supplied thesearch query.

The communications system 800 of FIG. 8 includes a client 810 configuredto interface with a host 840 (that accesses a search engine 850) via anetwork 830 and an intermediary 820. The client 810 is configured toreceive a search query and a corresponding time component from a user.The client 810 may provide the search query and corresponding timecomponent to the host via intermediary 820 and network 830. The host 840may be configured to adjust the search query so that search results areresponsive to content included in web pages browsed by the user during aparticular time frame that corresponds with the time component (andstored in a time-oriented profile) for a user's web browsing behavior.The host 840 may be configured to provide the adjusted search query tothe search engine 850 and, in response, receives search resultstherefrom. The host 840 then may provide the search results to theclient 810, via network 830 and intermediary 820, for display to theuser.

Each of the client 810 and the host 840 may be implemented by, forexample, a general-purpose computer capable of responding to andexecuting instructions in a defined manner, a personal computer, aspecial-purpose computer, a workstation, a server, a device, acomponent, other equipment or some combination thereof capable ofresponding to and executing instructions. The client 810 and host 840may be configured to receive instructions from, for example, a softwareapplication, a program, a piece of code, a device, a computer, acomputer system, or a combination thereof, which independently orcollectively direct operations, as described herein. The instructionsmay be embodied permanently or temporarily in any type of machine,component, equipment, storage medium that is capable of being deliveredto the client 810, host 840 or intermediary 820.

The client 810 may include one or more devices capable of accessingcontent on the host 840. The host 840 may include a general-purposecomputer (e.g., a personal computer (PC)) capable of responding to andexecuting instructions in a defined manner, a workstation, a notebookcomputer, a PDA (“Personal Digital Assistant”), a wireless phone, acomponent, other equipment, or some combination of these items that iscapable of responding to and executing instructions.

More particularly, client 810 may be configured to receive a searchquery and corresponding time component from a user and provide thesearch query and time component to host 840. Client 810 also may beconfigured to receive corresponding search results from the host 840.Client 810 may display one or more UIs for a user to enter the searchquery and time component and to display the search results.

The network 830 provides a direct or indirect communication link betweenthe client system 810 and the host 840, irrespective of physicalseparation. Examples of a delivery network 830 include the Internet, theWorld Wide Web, WANs, LANs, analog or digital wired and wirelesstelephone networks (e.g., PSTN (“Public Switched Telephone Network”),ISDN (“Integrated Services Digital Network”), and DSL (“DigitalSubscriber Line”) including various forms of DSL such as SDSL(“Single-line Digital Subscriber Line”), ADSL (“Asymmetric DigitalSubscriber Loop), HDSL (“High bit-rate Digital Subscriber Line”), andVDSL (“Very high bit-rate Digital Subscriber Line)), radio, television,cable, satellite, and/or any other delivery mechanism for carrying data.

The host 840 generally includes one or more devices configured toreceive a search query and return search results adjusted to beresponsive to content included in web pages stored in a time-orientedprofile associated with the user. Host 840 may access search engine 850,which is capable of producing search results for search queries. Thehost 840 may include a general-purpose computer having a centralprocessor unit (CPU), and memory/storage devices that store data andvarious programs such as an operating system and one or more applicationprograms. Other examples of a host 840 includes a workstation, a server,a special purpose device or component, a broadcast system, otherequipment, or some combination thereof capable of responding to andexecuting instructions in a defined manner. The host 840 also mayinclude an input/output (I/O) device (e.g., video and audio input andconversion capability), and peripheral equipment such as acommunications card or device (e.g., a modem or a network adapter) forexchanging data with the network 830.

The host 840 is generally capable of executing instructions under thecommand of a controller. The host 840 may be used to provide content tothe client 810. The controller may be implemented by a softwareapplication loaded on the host 840 for commanding and directingcommunications exchanged directly with the client 810 or throughintermediary 820. Other examples of the controller include a program, apiece of code, an instruction, a device, a computer, a computer system,or a combination thereof, for independently or collectively instructingthe client 810 or the host 840 to interact and operate as described. Thehost 840 may be embodied permanently or temporarily in any type ofmachine, component, physical or virtual equipment, storage mediumcapable of providing instructions to the client 810, the intermediary820 or the host 840.

Search engine 850 typically resides on the host 840 and is capable ofexecuting searches based on a search query adjusted by host 840, asdescribed above. Examples of search engine 850 include a program, apiece of code, an instruction, a device, a computer, a computer system,or a combination thereof, for independently or collectively instructinghost 840 to interact and operate as described.

In some implementations, the host 840 may be configured to provideuser-specific search results (e.g., search results that have beeninformed by a user's pre-search browsing behavior), while maintainingthe privacy of the user requesting the search results. For instance, theclient 810 may route document feature vectors (representing documentsbrowsed by a user prior to searching) and search query vectors(representing a search query) through an intermediary, such asintermediary 820 before sending them to the host 840 via the network830. As such, and for example, the intermediary 820 may strip thefeature vectors of identifying information (e.g., a screen name or otheridentifier associated with the user) and, instead, tag the featurevectors with a random identifier that cannot be traced back to the user.Before sending the feature vector tagged with the random identifier tothe host 840, intermediary 820 may store a relationship between therandom identifier and the user, where the relationship may be encoded tomaintain the privacy benefits of routing the feature vectors through theintermediary 820. The intermediary 820 then may send the feature vectorsto the client 840 and receive, in response, search results that areassociated with the random identifier. The intermediary 820 then maydetermine a user to whom the search results belong (based on the encodedrelationship) and forward the search results to client 810 for displayto the user.

Time-oriented profiles for users may be stored locally on client 810, oralternatively, may be stored remotely at host 840. In implementationswhere privacy is of more concern, the time-oriented profiles may bestored locally at client 810 or may be stored remotely at host 840 inassociation with a scheme for preventing access to a time-orientedprofile for use by anyone other than the user to which the profilebelongs.

The exemplary process 900 of FIG. 9 is configured to allow a user toperceive search results that are responsive to the user's trueinformation need, as represented by a search query. Generally, theoperations of process 900 may be used in conjunction with the systemsand configurations described above with respect to FIG. 8. For example,process 900 may be performed by host 840 of FIG. 8, as described in moredetail below, and for convenience, host 840 is referenced as performingthe process. However, similar methodologies may be applied in otherimplementations where different components are used to define thestructure of the system, or where the functionality is distributeddifferently among the components shown.

Host 840 monitors a user's electronic activities (910). Electronicactivities may include browsing of Internet documents (e.g., web pages,blog entries and images), document creation and editing, electronicmessaging (e.g., email, text messages, instant messages), and perceptionof audio/video content (e.g., listening to mp3s or viewing streamingvideo). Host 840 may monitor the user's online activities (e.g., webbrowsing and messaging) by, for example, examining the user's browserhistory, cached web pages or email outbox. In addition, host 840 maymonitor the user's local activities (e.g., document creation andperceiving audio/video content that is stored locally) by, for example,examining recently-created or accessed files.

Host 840 stores information related to the content accessed by the userduring the monitored activities (920). For example, the host 840 mayidentify and store keywords and phrases associated with content accessedby the user (e.g., the keywords “birthday” and “party” in an electronicinvitation sent via email), a classification associated with contentaccessed by the user (e.g., a “sports” classification for a news articlerelated to a soccer game), a file name or title of content accessed bythe user (e.g., “Presentation Document.doc” or “August 25thPresentation”), a source or access information for content accessed bythe user (e.g., a uniform resource locator (URL) of a web page or pathname for a file) and information included in metadata associated withcontent accessed by the user (e.g., file size, date of creation andpermissions). As described above with respect to FIG. 2, informationrelated to content accessed by a user may be stored in a feature vector,such as, for example, the document feature vectors 600 and 610 of FIG.6.

Host 840 classifies the identified and stored information with respectto time to generate a time-oriented profile (930). More particularly,host 840 determines a classification for each content item that wasidentified by host 840 as being associated with content accessed by theuser. For example, the file name “Presentation Document.doc” may beassociated with a “work” classification. In some implementations, theentirety of a particular piece of content accessed by the user (e.g., adocument) may be classified, as opposed to classifying merelyinformation gleaned from the particular piece of content (e.g., akeyword identified within the document).

The identified and stored information is also associated with a timeframe during which the user accessed the content that included theinformation. For example, a user may have read an email message at 8:45AM on Aug. 25, 2006. The email message may have included the keyword“birthday,” which host 840 identified and stored. The keyword“birthday,” as well as (in some implementations) an identifier relatedto the particular piece of content in which the keyword was identified(e.g., the email message) may be associated with the time 8:45 AM onAug. 25, 2006.

The identified information, along with an associated classification andtime frame, may be stored in a time-oriented profile associated with theuser who accessed the content. If no time-oriented profile has beenpreviously created for the user, such a profile may be generated at thistime. The time-oriented profile may include items associated withcontent accessed by a user based on time frames during which the contentwas accessed. In some implementations, identified information (e.g., akeyword) may be stored in a time-oriented profile only until it becomesstale. A piece of identified information may be deemed to be stale aftera predetermined default, or user-selected, amount of time has elapsed.For example, information may only be stored within a time-orientedprofile for 5 days. Thus, at 8:45 AM on Aug. 30, 2006, the keyword“birthday” (as described in the previous example) and associated emailmessage may be removed from the time-oriented profile. Additionally, oralternatively, the amount of time that information remains in atime-oriented profile may be based on storage space, rather than a timeconstraint.

Host 840 receives a search query from a user and determines acorresponding time component to be related to the search query (940). Auser may provide a search query via a UI associated with an online ordesktop search application. A time component corresponding to the searchquery may be similarly provided by a user. In some implementations, aslider, as described above with respect to UIs 100A-100D of FIGS. 1A-1D,or a dial, a drop-down menu, text entry field or other input mechanismmay be used by a user to indicate a particular time component (e.g.,“past day). Alternatively, or additionally, and as also described above,a user may select a time component that is recommended by host 840 via aradio button, drop-down menu or other input mechanism, including arejection of an automatically selected time component.

Host 840 relates the search query and corresponding time component tothe time-oriented profile associated with the user (950). Moreparticularly, host 840 may examine information included in thetime-oriented profile to identify items that are related to the searchquery and associated with a time frame that satisfies the timecomponent. For example, a keyword “birthday” may be stored in thetime-oriented profile and may be deemed to relate to a search query for“cake” because both words belong to a “party” category.

Host 840 determines if relating the search query and corresponding timecomponent to the time-oriented profile supports adjusting the searchquery (960). In other words, host 840 determines whether informationincluded in the time-oriented profile is related to the search query andsatisfies the time component corresponding to the search query.

If the relating operation 960 supports adjusting the query, the host 840adjusts the search query to include the information from within thetime-oriented profile that has been determined to relate to the searchquery (970). The host 840 then enables the user to perceive searchresults that are responsive to the adjusted search query (980). Moreparticularly, the host 840 provides the user with search results thatare responsive to the search query and the corresponding time component,and thus, are more likely to satisfy the user's true information need.

If the relating operation 960 does not support adjusting the query, thehost 840 provides the user with search results that are responsive tothe search query as provided by the user. More particularly, if noinformation in the time-oriented profile is deemed to be related to thesearch query and corresponding time component, the host 840 does notadjust the search query and the search results may not be influenced bythe user's pre-search activities.

In some implementations, and as described, the techniques describedherein may be integrated as a component or functionality of a particularsearch engine. Alternatively, such techniques may be supplied to a useras a third party plug-in that may be used in association with one ormore particular search engines. As such, the plug-in may be configuredto work with existing browsers, as well as those that are yet to bebrought to market.

The plug-in may be configured to inform search results with pre-searchactivities performed by a user in a variety of applications (e.g.,browsers, word processing, audio/video and email). To do so, the plug-inmay monitor a user's activities in a variety of applications, asdescribed above with respect to process 900 of FIG. 9. A user may entera search query into an interface provided by the plug—or in atraditional search engine. A traditional search engine may include anInternet search performed by an online search engine, a search engineintegrated into a particular web site or a search engine provided by anonline service provider, a search of a user's local computer or a searchfor both Internet and local content.

If the user provides the search query, and a corresponding timecomponent, into an interface provided by the plug-in, the plug-in mayadjust the search query, as described above, based on the user'spre-search activities and then submit the search query to a default oruser-selected search engine. If the user provides the search query intoa traditional search engine, the plug-in may automatically intervene,and adjust the search query based on the user's pre-search activities,prior to allowing the traditional search engine to initialize thesearch. As such, the user may reject an adjustment of a search queryperformed by the plug-in, and, in some implementations, provide theplug-in with an alternate adjusted search query or indicate that theplug-in should allow the search to be performed without adjusting thesearch query.

The described systems, methods, and techniques may be implemented indigital electronic circuitry, computer hardware, firmware, software, orin combinations of these elements. Apparatus embodying these techniquesmay include appropriate input and output devices, a computer processor,and a computer program product tangibly embodied in a machine-readablestorage device for execution by a programmable processor. A processembodying these techniques may be performed by a programmable processorexecuting a program of instructions to perform desired functions byoperating on input data and generating appropriate output. Thetechniques may be implemented in one or more computer programs that areexecutable on a programmable system including at least one programmableprocessor coupled to receive data and instructions from, and to transmitdata and instructions to, a data storage system, at least one inputdevice, and at least one output device. Each computer program may beimplemented in a high-level procedural or object-oriented programminglanguage, or in assembly or machine language if desired; and in anycase, the language may be a compiled or interpreted language. Suitableprocessors include, by way of example, both general and special purposemicroprocessors. Generally, a processor will receive instructions anddata from a read-only memory and/or a random access memory. Storagedevices suitable for tangibly embodying computer program instructionsand data include all forms of non-volatile memory, including by way ofexample semiconductor memory devices, such as Erasable ProgrammableRead-Only Memory (EPROM), Electrically Erasable Programmable Read-OnlyMemory (EEPROM), and flash memory devices; magnetic disks such asinternal hard disks and removable disks; magneto-optical disks; andCompact Disc Read-Only Memory (CD-ROM). Any of the foregoing may besupplemented by, or incorporated in, specially-designed ASICs(application-specific integrated circuits).

It will be understood that various modifications may be made. Forexample, useful results still could be achieved if steps of thedisclosed techniques were performed in a different order and/or ifcomponents in the disclosed systems were combined in a different mannerand/or replaced or supplemented by other components.

1. A method of providing search results to a user, the methodcomprising: monitoring electronic document browsing of a user; inconnection with the monitoring, identifying, from each of one or moreelectronic documents browsed by the user, one or more words descriptiveof overall content included in the corresponding electronic documentbased on relative frequency of occurrence of the one or more words inthe corresponding electronic document; storing, as part of browsinginformation descriptive of content accessed by the user, the one or morewords identified from each of the one or more electronic documentsbrowsed by the user in association with an indication of when thecorresponding electronic document was browsed by the user; receiving asearch query from the user; receiving, from the user, input defining atime component to be associated with the search query, the timecomponent corresponding to a time period prior to receipt of the searchquery; accessing, from the stored browsing information descriptive ofcontent accessed by the user, information descriptive of contentaccessed by the user during the time period corresponding to the timecomponent defined by the user, the accessed information including atleast a portion of the one or more words identified from each of the oneor more electronic documents browsed by the user; comparing the receivedsearch query to the accessed information descriptive of content accessedby the user during the time period corresponding the time componentdefined by the user; based on comparison results, determining, using aprocessor, whether the accessed information descriptive of contentaccessed by the user during the time period corresponding the timecomponent defined by the user is relevant to the received search query;when the determination reveals that the accessed information descriptiveof content accessed by the user during the time period corresponding thetime component defined by the user is relevant to the received searchquery: adjusting the received search query to include at least a portionof the accessed information descriptive of content accessed by the userduring the time period that is determined to be relevant to the receivedsearch query, the portion of the accessed information including at leastone word identified as being descriptive of overall content included inan electronic document browsed by the user during the time period, andproviding search results responsive to the adjusted search query; andwhen the determination reveals that the accessed information descriptiveof content accessed by the user during the time period corresponding thetime component defined by the user is not relevant to the receivedsearch query, providing search results responsive to the received searchquery without adjustment to include the accessed information descriptiveof content accessed by the user during the time period, whereinproviding search results responsive to the adjusted search querycomprises: providing a first list of temporally-based search resultsresponsive to the adjusted search query with a first graphicalindication identifying the first list as being based on an adjustment ofthe received search query; and providing, simultaneously with the firstlist of temporally-based search results, a second list oftemporally-independent search results responsive to the received searchquery without adjustment to include the accessed information descriptiveof content accessed by the user during the time period with a secondgraphical indication identifying the second list as being based on thereceived search query without adjustment.
 2. The method of claim 1providing search results responsive to the adjusted search querycomprises: identifying at least one additional search term that is notincluded in the received search query and that is included in theaccessed information descriptive of content accessed by the user duringthe time period; adjusting the received search query to include theidentified at least one additional search term; performing a searchusing the adjusted search query that includes one or more search termsof the received search query and the identified at least one additionalsearch term; and providing the user with search results identified byperforming the search using the adjusted search query that includes theone or more search terms of the received search query and the identifiedat least one additional search term.
 3. The method of claim 1 providingsearch results responsive to the adjusted search query further comprisesproviding the user with search results that include temporally-basedsearch results identified by performing the search using the adjustedsearch query and temporally-independent search results identified byperforming a search using the received search query without adjustmentto include the accessed information descriptive of content accessed bythe user during the time period.
 4. The method of claim 1 receiving,from the user, input defining a time component to be associated with thesearch query includes receiving, from the user, a selection of a timeperiod from among multiple potential time periods.
 5. The method ofclaim 1 wherein the accessed information descriptive of content accessedby the user during the time period corresponding the time componentdefined by the user includes information descriptive of content browsedby the user over a network during the time, a classification of theinformation, and a time indication of when the user performed theactivity related to the information.
 6. The method of claim 5 whereinthe information, classification and time indication are stored within atime-oriented profile for a predetermined amount of time.
 7. The methodof claim 1 further comprising: monitoring electronic document browsingof the user; and generating a feature vector for electronic documentsaccessed by the user during the electronic document browsing, whereinaccessing information descriptive of content accessed by the user duringthe time period corresponding to the time component defined by the usercomprises accessing the feature vector.
 8. The method of claim 7 whereingenerating the feature vector comprises: identifying a word appearingmost frequently in an electronic document accessed by the user duringthe electronic document browsing; including the word in the featurevector as being representative of the electronic document accessed bythe user during the electronic document browsing.
 9. The method of claim8 wherein generating the feature vector further comprises including atime indication in the feature vector, the time indication indicating atime frame during which the electronic document was accessed by theuser, and including a classification of the electronic document in thefeature vector, the classification indicating a type of informationincluded in the electronic document.
 10. The method of claim 9 furthercomprising: determining multiple potential classifications of thereceived search query, wherein: comparing the received search query tothe accessed information descriptive of content accessed by the userduring the time period corresponding the time component defined by theuser comprises comparing the multiple potential classifications of thereceived query to the feature vector; and determining whether theaccessed information descriptive of content accessed by the user duringthe time period corresponding the time component defined by the user isrelevant to the received search query comprises determining whether thefeature vector includes information relevant to any one of the multiplepotential classifications of the received search query.
 11. The methodof claim 10 wherein providing search results responsive to the adjustedsearch query comprises: selecting, from among the multiple potentialclassifications of the received search query, a single classification ofthe received search query that is most related to the accessedinformation descriptive of content accessed by the user during the timeperiod corresponding the time component defined by the user; andidentifying search results directed to the single classification of thereceived search query.
 12. The method of claim 1 wherein the searchresults are provided based on processing by a third party plug-in. 13.The method of claim 1 wherein providing search results responsive to theadjusted search query comprises: determining multiple potential subjectmatter classifications of the received search query; automatically,without human intervention, selecting, from among the multiple potentialsubject matter classifications of the received search query, a subjectmatter classification of the received search query based on the accessedinformation descriptive of content accessed by the user during the timeperiod; and using the automatically-selected subject matterclassification to inform search results provided in response to thereceived search query.
 14. The method of claim 13 wherein selecting thesubject matter classification of the received search query based on theaccessed information descriptive of content accessed by the user duringthe time period comprises determining that, during the time period, theuser browsed documents having subject matter related to the subjectmatter classification of the received search query.
 15. The method ofclaim 1 wherein receiving, from the user, input defining a timecomponent to be associated with the search query comprises receiving,from the user, input defining a time component to be associated with thesearch query with the received search query.
 16. The method of claim 1wherein accessing information descriptive of content accessed by theuser during the time period corresponding to the time component definedby the user comprises accessing metadata descriptive of web pages theuser accessed during the time period corresponding to the time componentdefined by the user.
 17. The method of claim 1 wherein: accessinginformation descriptive of content accessed by the user during the timeperiod corresponding to the time component defined by the user comprisesaccessing phrases included in web pages accessed during the time periodcorresponding to the time component defined by the user; and adjustingthe received search query to include at least a portion of the accessedinformation descriptive of content accessed by the user during the timeperiod that is determined to be relevant to the received search querycomprises adjusting the received search query to include at least one ofthe phrases included in web pages accessed during the time periodcorresponding to the time component defined by the user.
 18. The methodof claim 1 wherein adjusting the received search query to include atleast a portion of the accessed information descriptive of contentaccessed by the user during the time period that is determined to berelevant to the received search query further comprises adjusting thereceived search query to specifically exclude interpretations that donot correspond to the accessed information descriptive of contentaccessed by the user during the time period that is determined to berelevant to the received search query.
 19. A computer-readable storagemedium encoded with a computer program comprising instructions that,when executed, operate to cause a computer to perform operationscomprising: monitoring electronic document browsing of a user; inconnection with the monitoring, identifying, from each of one or moreelectronic documents browsed by the user, one or more words descriptiveof overall content included in the corresponding electronic documentbased on relative frequency of occurrence of the one or more words inthe corresponding electronic document; storing, as part of browsinginformation descriptive of content accessed by the user, the one or morewords identified from each of the one or more electronic documentsbrowsed by the user in association with an indication of when thecorresponding electronic document was browsed by the user; receiving asearch query from the user; receiving, from the user, input defining atime component to be associated with the search query, the timecomponent corresponding to a time period prior to receipt of the searchquery; accessing, from the stored browsing information descriptive ofcontent accessed by the user, information descriptive of contentaccessed by the user during the time period corresponding to the timecomponent defined by the user, the accessed information including atleast a portion of the one or more words identified from each of the oneor more electronic documents browsed by the user; comparing the receivedsearch query to the accessed information descriptive of content accessedby the user during the time period corresponding the time componentdefined by the user; based on comparison results, determining, using aprocessor, whether the accessed information descriptive of contentaccessed by the user during the time period corresponding the timecomponent defined by the user is relevant to the received search query;when the determination reveals that the accessed information descriptiveof content accessed by the user during the time period corresponding thetime component defined by the user is relevant to the received searchquery: adjusting the received search query to include at least a portionof the accessed information descriptive of content accessed by the userduring the time period that is determined to be relevant to the receivedsearch query, the portion of the accessed information including at leastone word identified as being descriptive of overall content included inan electronic document browsed by the user during the time period, andproviding search results responsive to the adjusted search query; andwhen the determination reveals that the accessed information descriptiveof content accessed by the user during the time period corresponding thetime component defined by the user is not relevant to the receivedsearch query, providing search results responsive to the received searchquery without adjustment to include the accessed information descriptiveof content accessed by the user during the time period, whereinproviding search results responsive to the adjusted search querycomprises: providing a first list of temporally-based search resultsresponsive to the adjusted search query with a first graphicalindication identifying the first list as being based on an adjustment ofthe received search query; and providing, simultaneously with the firstlist of temporally-based search results, a second list oftemporally-independent search results responsive to the received searchquery without adjustment to include the accessed information descriptiveof content accessed by the user during the time period with a secondgraphical indication identifying the second list as being based on thereceived search query without adjustment.
 20. The computer-readablestorage medium of claim 19, wherein providing search results responsiveto the adjusted search query comprises: identifying at least oneadditional search term that is not included in the received search queryand that is included in the accessed information descriptive of contentaccessed by the user during the time period; adjusting the receivedsearch query to include the identified at least one additional searchterm; performing a search using the adjusted search query that includesone or more search terms of the received search query and the identifiedat least one additional search term; and providing the user with searchresults identified by performing the search using the adjusted searchquery that includes the one or more search terms of the received searchquery and the identified at least one additional search term, whereinproviding search results responsive to the adjusted search query furthercomprises providing the user with search results that includetemporally-based search results identified by performing the searchusing the adjusted search query and temporally-independent searchresults identified by performing a search using the received searchquery without adjustment to include the accessed information descriptiveof content accessed by the user during the time period.
 21. A method ofproviding search results to a user, the method comprising: receiving asearch query from a user; receiving, from the user, input defining atime component to be associated with the search query, the timecomponent corresponding to a time period prior to receipt of the searchquery; accessing information descriptive of content accessed by the userduring the time period corresponding to the time component defined bythe user, the accessed information having been stored based onmonitoring of content accessed by the user during the time period;adjusting the received search query to include at least a portion of theaccessed information descriptive of content accessed by the user duringthe time period, and providing search results responsive to the adjustedsearch query, wherein providing search results responsive to theadjusted search query comprises: providing a first list oftemporally-based search results responsive to the adjusted search querywith a first graphical indication identifying the first list as beingbased on an adjustment of the received search query; and providing,simultaneously with the first list of temporally-based search results, asecond list of temporally-independent search results responsive to thereceived search query without adjustment to include the accessedinformation descriptive of content accessed by the user during the timeperiod with a second graphical indication identifying the second list asbeing based on the received search query without adjustment.
 22. Themethod of claim 21 wherein providing the first list of temporally-basedsearch results and providing the second list of temporally-independentsearch results comprises providing the first list with the firstgraphical indication and the second list with the second graphicalindication on a single page, wherein the first graphical indicationindicates a classification derived from the accessed informationdescriptive of content accessed by the user during the time period andused in identifying the results included in the first list and thesecond graphical indication indicates that the second list includesgeneral search results.
 23. The method of claim 21 wherein: receivingthe search query from the user comprises receiving a search query from auser via a user interface.